Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/autodistill/autodistill-owl-vit

OWL-ViT module for Autodistill.

https://github.com/autodistill/autodistill-owl-vit

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

autodistill owl-vit vision-transformers
Last synced: 9 months ago · JSON representation

Repository

OWL-ViT module for Autodistill.

Basic Info
  • Host: GitHub
  • Owner: autodistill
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage: https://autodistill.com
  • Size: 13.7 KB
Statistics
  • Stars: 7
  • Watchers: 4
  • Forks: 3
  • Open Issues: 2
  • Releases: 0
Topics
autodistill owl-vit vision-transformers
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Autodistill OWL-ViT Module

This repository contains the code supporting the OWL-ViT base model for use with Autodistill.

OWL-ViT is a transformer-based object detection model developed by Google Research.

Read the full Autodistill documentation.

Read the OWL-ViT Autodistill documentation.

Installation

To use OWL-ViT with autodistill, you need to install the following dependency:

bash pip3 install autodistill-owl-vit

Quickstart

```python from autodistillowlvit import OWLViT

define an ontology to map class names to our OWLViT prompt

the ontology dictionary has the format {caption: class}

where caption is the prompt sent to the base model, and class is the label that will

be saved for that caption in the generated annotations

then, load the model

basemodel = OWLViT( ontology=CaptionOntology( { "person": "person", "a forklift": "forklift" } ) ) basemodel.label("./context_images", extension=".jpg") ```

License

The code in this repository is licensed under an Apache 2.0 license.

🏆 Contributing

We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!

Owner

  • Name: Autodistill
  • Login: autodistill
  • Kind: organization
  • Email: autodistill@roboflow.com

Use bigger slower models to train smaller faster ones

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Push event: 1
  • Pull request event: 1
  • Fork event: 2
Last Year
  • Issues event: 1
  • Watch event: 2
  • Push event: 1
  • Pull request event: 1
  • Fork event: 2

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 8
  • Total Committers: 2
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.125
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
James Gallagher j****g@j****g 7
Matvei s****1@p****e 1
Committer Domains (Top 20 + Academic)
proton.me: 1 jamesg.blog: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 2
  • Total pull requests: 3
  • Average time to close issues: 7 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 1.5
  • Average comments per pull request: 1.33
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • shersoni610 (1)
  • sudoLife (1)
Pull Request Authors
  • sudoLife (2)
  • djwessel (1)
  • tonydavis629 (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 122 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
pypi.org: autodistill-owl-vit

OWL-ViT module for use with Autodistill

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 122 Last month
Rankings
Dependent packages count: 7.5%
Average: 38.5%
Dependent repos count: 69.6%
Maintainers (1)
yeldarb
Last synced: 9 months ago

Dependencies

.github/workflows/publish-to-pypi.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v2 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v2 composite
.github/workflows/welcome.yml actions
  • actions/first-interaction v1.1.1 composite
setup.py pypi
  • numpy *
  • supervision *
  • torch *
  • transformers *